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- Herausgeber: John Wiley & Sons
- Kategorie: Wissenschaft und neue Technologien
- Sprache: Englisch
A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering and economics The Bayesian Way offers a basic introduction to statistics that emphasizes the Bayesian approach and is designed for use by those studying professional disciplines like engineering and economics. In addition to the Bayesian approach, the author includes the most common techniques of the frequentist approach. Throughout the text, the author covers statistics from a basic to a professional working level along with a practical understanding of the matter at hand. Filled with helpful illustrations, this comprehensive text explores a wide range of topics, starting with descriptive statistics, set theory, and combinatorics. The text then goes on to review fundamental probability theory and Bayes' theorem. The first part ends in an exposition of stochastic variables, exploring discrete, continuous and mixed probability distributions. In the second part, the book looks at statistical inference. Primarily Bayesian, but with the main frequentist techniques included, it covers conjugate priors through the powerful yet simple method of hyperparameters. It then goes on to topics in hypothesis testing (including utility functions), point and interval estimates (including frequentist confidence intervals), and linear regression. This book: * Explains basic statistics concepts in accessible terms and uses an abundance of illustrations to enhance visual understanding * Has guides for how to calculate the different probability distributions, functions , and statistical properties, on platforms like popular pocket calculators and Mathematica / Wolfram Alpha * Includes example-proofs that enable the reader to follow the reasoning * Contains assignments at different levels of difficulty from simply filling out the correct formula to the complex multi-step text assignments * Offers information on continuous, discrete and mixed probability distributions, hypothesis testing, credible and confidence intervals, and linear regression Written for undergraduate and graduate students of subjects where Bayesian statistics are applied, including engineering, economics, and related fields, The Bayesian Way: With Applications in Engineering and Economics offers a clear understanding of Bayesian statistics that have real-world applications.
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Veröffentlichungsjahr: 2018
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The Bayesian Way
Introductory Statistics for Economists and Engineers
Svein Olav Nyberg
University of Agder Grimstad, Norway
This edition first published 2019 © 2019 John Wiley & Sons, Inc
Edition History
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.
The right of Svein Olav Nyberg to be identified as the author of the material in this work has been asserted in accordance with law.
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Library of Congress Cataloging-in-Publication Data
Names: Nyberg, Svein Olav, author.
Title: The Bayesian way : introductory statistics for economists and engineers / Svein Olav Nyberg.
Description: 1st edition. | Hoboken, NJ : John Wiley & Sons, 2018. | Includes index. |
Identifiers: LCCN 2017060721 (print) | LCCN 2018007080 (ebook) | ISBN 9781119246886 (pdf) |
ISBN 9781119246893 (epub) | ISBN 9781119246879 (cloth)
Subjects: LCSH: Bayesian statistical decision theory. | Economics–Statistical methods. |
Engineering–Statistical methods.
Classification: LCC QA279.5 (ebook) | LCC QA279.5 .N93 2018 (print) | DDC 519.5/42–dc23
LC record available at https://lccn.loc.gov/2017060721
Cover image: © Javi Tejedor Calleja /
Cover design by Wiley
This book is dedicated to my two beautiful daughters Kira Amalie and Amaris Beate.
Thank you for being patient with Pappa.
List of Tables
Chapter 1
Table 1.1
Table 1.2
Chapter 2
Table 2.1
Table 2.2
Table 2.3
Chapter 3
Table 3.1
Table 3.2
Table 3.3
Table 3.4
Chapter 4
Table 4.1
Table 4.2
Table 4.3
Table 4.4
Table 4.5
Chapter 5
Table 5.1
Table 5.2
Chapter 6
Table 6.1
Chapter 7
Table 7.1
Table 7.2
Table 7.3
Table 7.4
Table 7.5
Chapter 12
Table 12.1
Table 12.2
Table 12.3
Chapter 13
Table 13.1
Chapter 16
Table 16.1
Table 16.2
Chapter 17
Table 17.1
Guide
Cover
Table of Contents
Preface
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